State-Space Network Topology Identification From Partial Observations

In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics. To do so, we employ subspace techniques borrowed from system identification literature and extend them to the network topology identificati...

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Vydáno v:	IEEE transactions on signal and information processing over networks Ročník 6; s. 211 - 225
Hlavní autoři:	Coutino, Mario, Isufi, Elvin, Maehara, Takanori, Leus, Geert
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Continuous time systems Evolution (biology) graph signal processing Information processing Inverse eigenvalue problems Mathematical analysis Measurement Modeling Network control Network topologies Network topology network topology identification Signal processing signal processing over networks state-space models System dynamics System identification Topology
ISSN:	2373-776X, 2373-7778
On-line přístup:	Získat plný text
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